5 Ways to Reduce Time and Cost on Business Data Integration

There’s nothing more frustrating than getting ready for a presentation or meeting and having to shuffle through a multitude of papers to find the one document you need. Or scouring your computer for a specific file only to come up empty-handed. Without organization and integration, you may be searching for a while to find the important things you need to reach your business goals. This is one of the reasons you need the best practices and integration strategy for your company.

Utilize new technology to help process your big data in more meaningful ways. Rather than shuffling through many different systems and datasets, data integration tools bring everything together and transform your information. This allows you better insights and smarter techniques for your big data coming from different sources. Let’s take a look at a few of the specific ways data integration strategies can help you save time, energy, and money for your business.

What is business data integration?

First, let’s understand exactly what business data integration is. Overall, a data integration strategy combines different sources of information into one unified view. This allows for everyone in your organization to see information in one place and make better business decisions based on that insight. With different formats and techniques, you can revolutionize your database and utilize the right approach for your organization. Just remember, this middleware will need to be molded and shaped for your specific integration plan. But with the right strategy, you can grow your company in a great way.

1. Develop better data virtualization.

Data virtualization is a huge part of business intelligence platforms. This allows you to completely transform your data into more manageable and consistent plot points. Get a better visualization to improve your workflow. By using this middleware, you can speed up your time of service and save your employees extra effort of trying to process data the long way.

2. ETL allows for the consolidation of data.

ETL is a form of data integration that stands for Extract, Transform, and Load. By relying on day-to-day operations that do the heavy lifting for you, you eliminate the need for busywork. This saves you both time and money when you have the right software that picks out data, transforms it into readable information, and loads in fresh data silos. This flow of data happens naturally with an integrated platform and can save you money and time.

3. Integration overall eliminates waste.

When your systems aren’t integrated, there’s a good chance you’re going to have waste throughout your data stores. You may have key factors and metrics stored on several different silos. Rather than taking up so much space and wasting money, the integration process eliminates these duplicates and streamlines exactly what you need for your data access.

4. Streamline your development and testing.

Working with new technology and systems means you are constantly trying out new things. Data collection is just the first step, then you make better business decisions based on the insights you acquired from the analytics. Having data integration systems helps you develop and test new theories and ideas in real time. Rather than waiting around to make a decision about the future, you can develop new ideas with all the information at your fingertips.

5. Spend less on IT issues.

One of the biggest places you save money with data integration is with IT issues. Rather than spending a fortune calling in specialists to understand or untangle big problems, you’re getting on top of the issues ahead of time with data integration. Take advantage of predictive maintenance and keep your servers clean so you don’t have to fight with the technology later on.

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